data scientist
Title posted on CareerBeacon -
Data Science & Advanced Analytics Intern Co-op (WINTER )
Posted on
September 10, 2024
by
Employer details
TD Bank
Job details
Role Type:Internship/Co-opWork Term:Work Location:CanadaHours:37.5Pay Details:We're committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.Job Description:COMPANY OVERVIEWTell us your story. Don't go unnoticed. Explain why you're a winning candidate. Think "TD" if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.Stay current and competitive. Carve out a career for yourself. Grow with us. Here's our story: jobs.td.comBuilding a World-Class Team at TDWe can't afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about technology. TD's technology and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, anyway.Our Leaders are committed to people development, career advancement and value diversity and inclusion.JOB DESCRIPTIONProvide technical expertise across a broad range of data analysis functions including data modeling, visualization, data profiling, data origin and lineage, report design, and other specialized data management functions. The Data Scientist & Advanced Analytics Coop/Intern will perform a variety of activities, which may include:Apply machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.Support business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming dataBuild production-scale solutions and work with deployment teams to integrate in business operationsLeverage visualization methods to represent results and communicate outcomes to technical and non-technical audiencesJOB REQUIREMENTSCurrently enrolled in either a recognized undergraduate or graduate degree majoring in Computer Science, Physics, Mathematics, Statistics, Engineering, Data Analytics or related, with the intent of going back to school at the start of your work term.Strong statistical and analytical skills and interest are necessary.Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.Experience in Python, SQL and/or other data-related programming languages.Experience with visualizations and building dashboards in Tableau is considered an asset.Knowledge/experience with machine learning is considered an asset.Experience with Data Management, Analytics, and Project Management is a plus.ADDITIONAL INFORMATIONThis position is a 4-month work term and will commence January 6th ? April 25th, 2025.Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.TD requires employees to reside in the country where the role is located, irrespective of remote working arrangementsTD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.HOURSMonday-Friday, standard business hours.INCLUSIVENESSAt TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we liv
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LocationToronto, ON
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Workplace information
On site
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SalaryNot available
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Terms of employment
Full time
- Start date
Starts as soon as possible
- vacancies
1 vacancy
- Source
CareerBeacon
#2110761
Advertised until
2024-10-09
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